The purpose of this study was to determine the influence of educational background and gender on the sales turnover of UKM Sugar Ant Entrepreneurs. The method used is SEM PLS 3 with a population of 50 respondents of SMEs Sugar Ant Entrepreneurs. The results of the study found that educational background had a positive effect on sales turnover of SMEs Sugar Ant Entrepreneurs, while gender did not have a positive effect on sales turnover of SMEs Sugar Ants Entrepreneurs. So, the Sugar Ant Entrepreneurs who are in Lebak Banten in obtaining sales turnover are not determined by gender itself, but are determined by educational background
This research is directed to find out more about sugar activities in Gorontalo Province by exploring more deeply about Production, Export, Information, Pricing and Distribution Systems at PT. PG Gorontalo Tolangohula Unit. Using qualitative research methods that aim to systematically describe the facts and characteristics of the object or subject being studied appropriately. The results of the study found that the development of sugar production for Large Plantations (PB) and People's Plantations (PR) in Gorontalo tended to fluctuate, sugar exports from Gorontalo abroad did not yet exist, because sugar production was still needed for the needs of Gorontalo Province and its surroundings, namely North Sulawesi and Central Sulawesi Province, to determine the price of sugar refers to the main decision of the Surabaya Board of Directors, of course taking into account several factors, including production which will determine the cost of goods sold from the factory, and in the market, for the system of selling sugar from the factory to the hands of the community is through the auction system.
Chili is one of the potential commodities based on market demand and high economic value. The price of chili has fluctuated every month so that this commodity contributes to inflation in food that can affect overall general inflation. Thus, an analysis of forecasting prices for large curly red chili is needed so thar people and farmers do not need to worry and can prepare for future risks. Price forecasting in this study uses the Box-Jenkins ARIMA method. The data used is the price of lare curly red chili prices from December 2015 to April 2020. The data to be analyzed is then made into several forms of the ARIMA model and one will be chosen as the best ARIMA model. Based on the results of the study, ARIMA (1,1,3) is the best model. Thus the forecast results obtained for the price of large curly red chili in Magelang City from May 2020 to February 2021. With this research it is expected ti be able to assist the Depasrtment of Industry and Trade of Magelang City in making decisions related to the price of lare curly red chilli which fluctuates every year.
In Assilulu village, Central Maluku district, the goal of this research was to determine the economic potential of plantations and approaches for increasing farmers' income. Qualitative methods and SWOT analysis tools also applied. The analysis indicated that the economic potential of plantations based on classical production factors was not maximized in terms of quantity of vegetable produce, and that the revenue earned from production could meet the demands of farmers. Farms are in quadrant II of the SWOT analysis, indicating that they have strength but have significant obstacles, so the recommendation is to implement a strategy.
The existence of construction in an area will have an influence on regional development. Likewise in the City of Magelang, the construction sector is a sector that contributes a fairly large GRDP with the construction of construction such as buildings and roads as the provision of facilities and infrastructure will result in an increase in community welfare which will also affect economic growth. The purpose of this study was identif construction sector in the form of roads and buildings with the results of a map of the distribution of construction in the City of Magelang by looking at the local construction service company so that it can be a reference in improving regional development, especially the construction sector to realize adequate infrastructure. As well as the socio-economic benefits of having a construction service company in Magelang City. This study used qualitative descriptive method with questionnaire, interview, observation and observation techniques. In the 2020 construction distribution map, there are high, medium and low building densities where high building densities dominate in the middle of the city along the main road. Road construction helps the distribution of goods and services and maximizes community access. The existence of a local construction service company provides benefits to the community both socially and economically, such as employment, services, and improvement of infrastructure facilities for the community. However, stronger synergy is needed to realize quality construction and utilize local resources in its implementation.
This study aims to analyse the priority of gold reserves compared to other reserves between non-Muslim countries with Muslim-majority countries, considering that Muslim scholars often put forward studies on gold or gold reserves, and even become a discourse on using gold as a transactional tool. The research methodology used in this study is a quantitative approach using secondary data. The results of this study indicated that non-Muslim majority countries more considering to use gold based on a reserve motive or precautionary motive for preventing risk. On the other hand, the precautionary motive has no effect on the decision of Muslim majority countries to prioritize gold as a reserve over other reserves.
Underemployment provides a picture of the imperfection of the labor market which causes the capacity of the workforce to be unable to be optimally utilized. Many studies state that young workers are very vulnerable to being underemployed. Youth is the driving force of a country's economic development, so the labor problems inherent in youth must be resolved properly. This study aims to analyze the factors affecting underemployment among young people in Sulawesi Island. The data used in this research is SAKERNAS August 2019 data. The method of analysis used is multinomial logistic regression analysis, where the independent variables of this study are variables related to the individual and occupational characteristics of the young population. This research shows that there are differences in the factors that affect underemployment of young men and women, especially in education and business. The weakness of this research is the unavailability of micro data that can describe labor market conditions.
Human development is one of the factors in increasing the implementation of national development. Human development that is implemented can be calculated with the human level, health and standard of living. Then the level of the human development index can also affect government spending in the education sector and the health sector. The use of the model in this article with the multiple linear regression program is used to process, classical assumptions of test data using SPSS 22. The results of the analysis show that farmer exchange rates can significantly affect the human development index in North Sumatra Province, government spending in the education sector has a significant effect on the human development index in North Sumatra Province and government spending on health sector spending has no significant effect on human development index in North Sumatra Province. This shows that government spending in the health sector has not been properly realized so that it is not strong enough to increase the human development index in North Sumatra Province. The results of research on government spending in the education sector have a dominant effect in increasing the human development index in North Sumatra province.
This study aims to determine the level of technical efficiency of paddy and maize farming in Gorontalo Province in 2019. The data used comes from the 2019 Ubinan Survey conducted by BPS Gorontalo Province. The total samples studied were 833 farming units, consisting of 392 paddy farming units and 441 maize farming units. The analysis method used is Data Envelopment Analysis (DEA). The results showed that most of the paddy and maize farming in Gorontalo Province in 2019 had not yet reached the full level of technical efficiency. The average level of technical efficiency in paddy farming was 68.7 percent, while the average level of efficiency in maize farming was only 56.7 percent.
The COVID-19 pandemic has been going on since December 2019 and changed all predictions of tourism competitiveness in various countries in the world, including various regions in Indonesia. The research objective is intended to measure the competitiveness of tourism in the AmboThe COVID-19 pandemic has been going on since December 2019 and changed all predictions of tourism competitiveness in various countries in the world, including various regions in Indonesia. The research objective is intended to measure the competitiveness of tourism in the Ambon City area to determine the contribution of tourism to the economy of Ambon City and Tual City. This study was done in an exploratory manner. The results of the Competitiveness Monitor analysis show that the competitiveness indicators (Human Tourism, Price Competitiveness, Infrastructure Development, Environment, Human Resources, and Social Development) in Ambon City was better than the ones in Tual City. However, the tourism competitiveness analysis referred to had completely changed along with the regional quarantine (lockdown) system implemented in various countries, and the Regional-Scaled Social Restrictions (Pembatasan Sosial Berskala Regional (PSBR)) system implemented in various provinces in Indonesia – which also included a temporary closure of inter-province seaports in Maluku to limit the virus spread. Therefore, there is an urgency of the role of government and related stakeholders to prepare for a new tourism business order, especially in the provision of transportation, and availability of hotels, restaurants, human resources, and environment which are free from the COVID-19 virus.